Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Autors principals: | Ferdous, Md.Rubaiat, Amin, Abdulla Al, Shaily, Senjuti Sarkar, Ricky, Fabliha Tarannum, Tabeeb, Tahmeed |
---|---|
Altres autors: | Islam, Saiful |
Format: | Thesis |
Idioma: | English |
Publicat: |
Brac University
2024
|
Matèries: | |
Accés en línia: | http://hdl.handle.net/10361/24293 |
Ítems similars
-
Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification
per: Labiba, Zaima, et al.
Publicat: (2024) -
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
per: Ishrak, Gazi Hasin, et al.
Publicat: (2022) -
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
per: Ifty, Md. Hasin Sarwar, et al.
Publicat: (2024) -
A deep learning approach for prediction of ADHD using brain structure
per: Siam, Shafin Ahad, et al.
Publicat: (2024) -
Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
per: Fiona, Driciru, et al.
Publicat: (2024)